Triple
T2460550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impeachment of the President of India |
E54522
|
entity |
| Predicate | effectTiming |
P28440
|
FINISHED |
| Object | removal takes effect from the date of passing of the resolution by the second House |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: removal takes effect from the date of passing of the resolution by the second House | Statement: [Impeachment of the President of India, effectTiming, removal takes effect from the date of passing of the resolution by the second House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectTiming Context triple: [Impeachment of the President of India, effectTiming, removal takes effect from the date of passing of the resolution by the second House]
-
A.
effectDuration
Indicates the length of time for which an effect remains active or valid.
-
B.
effectOnSchedule
Indicates how an event, action, or condition changes, disrupts, or influences a planned schedule or timeline.
-
C.
activationTime
chosen
Indicates the specific point in time at which an entity, process, or function becomes active or starts operating.
-
D.
evaDuration
Indicates the length of time that an extravehicular activity (EVA) lasts or is scheduled to last.
-
E.
timescale
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.